1642 Basic courses in Leicester delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This intermediate course is for application programmers who need to write embedded SQL COBOL or PL/I programs in either a DB2 9 or DB2 10 for z/OS environment. Overview Incorporate static SQL statements in an application program Prepare the program for execution Validate execution results are correct Produce code to support multiple rows being returned from the database manager using cursors Identify considerations regarding units of work, concurrency, and restart of programs Identify differences between static and dynamic SQL Provide test data for applications Discuss program and DB2 options relative to performance of static SQL This course enables you to acquire the skills necessary to produce application programs that manipulate DB2 databases. Emphasis is on embedding Structured Query Language (SQL) statements and preparing programs for execution. CV720G;CF82G;DB2 Concepts Identify DB2 family products Explain DB2 workstation component functions Identify DB2 objects Identify the key differences between static SQL and other application alternatives for accessing DB2 data Program Structure I Embed INSERT, UPDATE, DELETE and single-row SELECT statements in application programs Effectively communicate with DB2 when processing NULL values and determining success of statement execution Demonstrate use of DB2 coding aids Code CONNECT statements within an application program Identify connection types and impacts on a unit of work Program for the Call Attach Facility (CAF) Program Preparation Identify the additional steps necessary to prepare a program that contains embedded SQL for execution Describe the functions of the DB2 PRECOMPILE and BIND processes Describe factors relevant to the BIND process, including RUNSTATS positioning, package status, parameters, and authorization requirements Program Structure II Use DECLARE, OPEN, FETCH, and CLOSE CURSOR statements to handle select criteria that may return multiple rows in application programs Issue positioned UPDATE and DELETE statements Identify how scrollable cursors can be used Recovery and Locking Concepts Define a unit of recovery Identify the basic locking strategies used by DB2 Dynamic SQL Introduction Describe the difference between static and dynamic SQL List the types of dynamic statements Code dynamic SQL in a program Managing Test Data Identify methods to insert data into a table Use the LOAD or IMPORT utility Identify the purpose of the RUNSTATS utility Identify the purpose of the REORG utility Performance Considerations Use programming techniques that enhance DB2 application performance by following general guidelines, using indexable predicates, and avoiding unnecessary sorts Identify the access paths available to DB2 List common causes of deadlocks and avoid such causes when possible Use the EXPLAIN tools as aids to develop applications that emphasize performance Additional course details: Nexus Humans CV722 IBM DB2 11 for z/OS Application Programming Workshop training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CV722 IBM DB2 11 for z/OS Application Programming Workshop course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Cosmetology Course Overview This Cosmetology course offers a comprehensive introduction to the world of beauty and personal care, covering a wide range of topics from hair and skin care to makeup application and ethnic cosmetics. Designed for both beginners and professionals, it provides a solid foundation in the essential skills and knowledge needed for a successful career in the beauty industry. Throughout the course, learners will explore hair grooming techniques, advanced colouring methods, and skincare treatments, alongside specialised topics like menopause and male skincare. This course is ideal for anyone looking to enhance their cosmetology expertise, offering valuable insights into both common and unique beauty practices. Upon completion, learners will be equipped with a deep understanding of the industry’s core principles and ready to apply their knowledge to real-world scenarios. Course Description This in-depth course delves into various aspects of cosmetology, focusing on topics such as hair physiology, colouring techniques, and skin health. Learners will study the intricacies of hair care, from basic grooming to advanced techniques like curling, straightening, and colouring. Skin care is also explored in detail, including the effects of menopause on the skin, the role of ethnic cosmetics, and the impact of photodamage. Special attention is given to health and safety practices within the beauty industry, ensuring that learners can provide services while maintaining the highest standards of safety. By engaging with a range of modules, learners will gain a well-rounded understanding of cosmetology, preparing them for diverse roles within the beauty and personal care sectors. This course is ideal for those looking to build or enhance their expertise in cosmetology and advance their career in this dynamic field. Cosmetology Curriculum Module 01: Introduction to Cosmetology Module 02: Hair Physiology Module 03: Hair Grooming Module 04: Hair Colouring Techniques Module 05: Hair Curling and Straightening Module 06: Hair Loss Module 07: Hair Wig and Extensions Module 08: Manicure and Pedicure Module 09: Skin Module 10: Makeup Module 11: Menopause, Skin and Cosmetology Module 12: Male Skincare Module 13: Evaluating Hand and Body Lotions Module 14: Ethnic Cosmetics Module 15: Photodamage and Skin Cancer Module 16: Micro-Needle and Cosmetics Module 17: Health and Safety (See full curriculum) Who is this course for? Individuals seeking to pursue a career in the beauty and personal care industry. Professionals aiming to enhance their skills in cosmetology. Beginners with an interest in beauty, hair, and skincare. Anyone looking to specialise in advanced cosmetic treatments and techniques. Career Path Hair Stylist Makeup Artist Skin Care Specialist Beauty Consultant Cosmetology Instructor Salon Manager Product Development in Cosmetics Health and Beauty Retail Sector

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This two-day programme gives the key insights and understanding of contracting principles and the impact they have on business and operations. The course is designed for individuals involved in or supporting contracting who want to improve their commercial management skills; individuals in functions such as project management, business development, finance, operations who need practical training in commercial management; general audiences wanting to gain a basic understanding of commercial management. This is an assessed programme, leading to the International Association for Contracts & Commercial Management (IACCM)'s coveted Contract and Commercial Management Associate (CCMA) qualification. The programme addresses 31 different subject areas, across the five stages of the contracting process. By the end of the course the participants will be able, among other things, to: Develop robust contract plans, including scope of work and award strategies Conduct effective contracting activities, including ITT, RFP, negotiated outcomes Negotiate effectively with key stakeholders, making use of the key skills of persuading and influencing and to work with stakeholders to improve outcomes Set up and maintain contract management systems Take a proactive approach to managing contracts Make effective use of lessons learned to promote improvements from less than optimal outcomes, using appropriate templates Develop and monitor appropriate and robust Key Performance Indicators to manage the contractor and facilitate improved performance Understand the approvals process and how to develop and present robust propositions Make appropriate use of best practice contract management tools, techniques and templates DAY ONE 1 Introductions Aims Objectives Plan for the day 2 Commercial context Explaining the contracting context Define the key objective The importance of contact management Impact upon the business 3 Stakeholders How to undertake stakeholder mapping and analysis Shared vision concept, How to engage with HSE, Finance, Operations 4 Roles and responsibilities Exploring the key roles and responsibilities of contract administrators, HSE, Finance, Divisional managers, etc 5 Initiating the contract cycle Overview of the contracting cycle Requirement to tender Methods Rationale and exceptions 6 Specifications Developing robust scope of works Use of performance specifications Output based SOW 7 Strategy and award criteria Developing a robust contract strategy Award submissions/criteria 8 Managing the tender process Review the pre-qualification process Vendor registration rules and processes Creation of bidder lists Evaluation, short listing, and how to use of the 10Cs© model template and app 9 Types of contract Classify the different types of contracts Call-offs Framework agreement Price agreements Supply agreements 10 The contract I: price Understanding contract terms Methods of compensation Lump sum, unit price, cost plus, time and materials, alternative methods Cost plus a fee, target cost, gain share contracts Advanced payments Price escalation clauses DAY TWO 11 Risk How to manage risks Risk classification Mitigation of contractual risks 12 Contractor relationship management session Effectively managing relationships with contractors, Types of relationships Driving forces? Link between type of contract and style of relationship 13 Disputes Dealing with disputes Conflict resolution Negotiation Mediation Arbitration 14 Contract management Measuring and improving contract performance Using KPIs and SLAs Benchmarking Cost controls 15 The contract II: terms and conditions Contract terms and conditions Legal aspects Drafting special terms 16 Managing claims and variations How to manage contract and works variations orders Identifying the causes of variations Contractor claims process 17 Completion Contract close-out process Acceptance/completion Capture the learning/HSE Final payments, evaluation of performance 18 Close Review Final assessment

There is a lot to learn in Power BI, this course takes a comprehensive look at the fundamentals of analysing data and includes a balanced look at the four main components that make up Power BI Desktop: Report view, Data view, Model view, and the Power Query Editor. It also demonstrates how to utilise the online Power BI service. It looks at authoring tools that enable you to connect to and transform data from a variety of sources, allowing you to produce detailed reports through a range of visualisations, in an interactive and dynamic way. It also includes a detailed look at formulas by writing both M functions in Power Query, and DAX functions in Desktop view. This knowledge will allow you to take your reports to the next level. The aim of this course is to provide a complete introduction to understanding the Power BI analysis process, by working hands-on with examples that will equip you with the necessary skills to start applying your learning straight away. 1 Getting Started The Power BI ecosystem Opening Power BI Desktop Power BI's four views Introduction to Dashboards 2 Importing Files Importing data sources Importing an Excel file Importing a CSV file Importing a database Connect to an SQL Server Database Import vs. Direct Query Importing from the web Importing a folder of files Managing file connections 3 Shape Data in the Query Editor The process of shaping data Managing data types Keeping and removing rows Add a custom column Appending tables together Hiding queries in reports Fixing error issues Basic maths operations 4 The Data Model Table relationships Relationship properties 5 Merge Queries Table join kinds Merging tables 6 Inserting Dashboard Visuals Things to keep in mind Inserting maps Formatting Maps Inserting charts Formatting Charts Inserting a tree map Inserting a table, matrix, and card Controlling number formats About report themes Highlighting key points Filter reports with slicers Sync slicers across dashboards Custom web visuals 7 Publish and share Reports Publishing to Power BI service Editing online reports Pinning visuals to a dashboard What is Q&A? Sharing dashboards Exporting reports to PowerPoint Exporting reports as PDF files 8 The Power Query Editor Fill data up and down Split column by delimiter Add a conditional column More custom columns Merging columns 9 The M Functions Inserting text functions Insert an IF function Create a query group 10 Pivoting Tables Pivot a table Pivot and append tables Pivot but don't aggregate Unpivot tables Append mismatched headers 11 Data Modelling Expanded Understanding relationships Mark a date table 12 DAX New Columns New columns and measures New column calculations Insert a SWITCH function 13 Introduction to DAX Measures Common measure functions Insert a SUM function Insert a COUNTROWS function Insert a DISTINCTCOUNT function Insert a DIVIDE function DAX rules 14 The CALCULATE Measure The syntax of CALCULATE Insert a CALCULATE function Control field summarisation Things of note 15 The SUMX measure X iterator functions Anatomy of SUMX Insert a SUMX function When to use X functions 16 Time Intelligence Measures Importance of a calendar table Insert a TOTALYTD function Change financial year end date Comparing historical data Insert a DATEADD function 17 Hierarchies and Groups Mine data using hierarchies Compare data in groups

Duration 5 Days 30 CPD hours This course is intended for In order to be successful in this class, incoming attendees are required to have current, hands-on experience in developing basic web applications, and be versed in HTML5, CSS3 and JavaScript. This is an intermediate level web development class, designed for experienced web developers, new to Angular, that need to further extend their skills in modern web development. Overview At the end of this five-day course, students will have an application up and running that incorporates components, directives, custom pipes, reactive forms, routes, services, unit testing, and the REST API. They will add authentication, implement the Material library, and learn how to maintain state with NgRX. They will then take a deeper dive including making their own custom directives, lazy loading modules, and E2E testing. They will learn how to enhance their application with animations and create their own Angular library. Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will learn explore: What Angular is and why should you use it How Angular reduces the amount of code that you must write to add rich functionality to both existing and new web pages What TypeScript is, why it is useful, and how to use it with Angular How to facilitate development and deployment using Angular CLI How to work with the various aspects of the Angular architecture to implement clean, responsive web interfaces How Routers can support navigation within a Single Page Application What the best practices are for using Angular so that it works unobtrusively and performs well How to use Angular with HTTP to support JSON, REST, and other services Working with the Ahead of Time compiler including its impact of developers and the development process How to defend against DOM-based XSS How to manage routing decisions based on pre-defined criteria such as a successful authentication How to meet huge data requirements by processing asynchronous data streams with RxJS Simplify server-side rendering How to facilitate unit testing Enhance an Angular user interface with animations and other advanced features Optimize Angular applications with various tools and techniques Maintain state within an Angular application What Angular 9 brings to the table and its relationship to Angular 8 Mastering Angular is a five-day, hands-on course that thoroughly explores the latest Angular features and advances, demonstrating how to solve the traditional challenges of JavaScript web application development. Throughout the course students will build custom components using application routes, form validation, and unit-testing. The course starts with an introduction of Angular CLI and TypeScript, and then delves into component-driven development with Angular components, covering data-binding, directives, services, routing, HTTP, the RxJS library, forms unit testing, and REST. Students will also learn how to add authentication, use the Material library, learn the NgRX design pattern to implement the NgRX store, make custom directives, enhance their application with animations, write an E2E test, and increase their application's efficiency by lazy loading modules and creating their own Angular library Angular Overview Overview of Angular Architecture Getting Started with Angular Getting Started with TypeScript Bootstrapping with Angular CLI Angular Project Structure Working with Angular Components and Events Third Party Libraries Dynamic Views Pipes Angular Forms Forms and the Forms API Single Page Applications and Routes Single Page Applications Services and Dependency Injection Modules Using RESTful Services Overview of REST Angular and REST Angular Best Practices Angular Style Guide What is New in Angular 9 Reactive Programming in Angular Working with RxJS Security and Authentication DomSanitizer JSON Web Tokens Route Guards Enhancing the Angular App Angular Animations Angular Material Angular Elements Deep Dive into Angular Testing and Angular Deep Dive into Components and Directives Deep Dive into Services and Dependency Injection Optimizing for the Enterprise Lazy Loading Optimizing with Universal Creating Your Own Angular Library Maintain State with NgRX NgRX Store Lesson: ES6+ Sass and SCSS for Angular and Material

Duration 3 Days 18 CPD hours Overview By the end of the course, you should be able to meet the following objectives: Explain and apply the fundamental techniques for launching and maintaining an intelligence-driven, multiplatform endpoint management solution with Workspace ONE UEM Outline the components of Workspace ONE UEM Explain the general features and functionality enabled with Workspace ONE UEM Summarize the basic Workspace ONE administrative functions Explain and deploy common Workspace ONE integrations Securely deploy configurations to Workspace ONE UEM managed devices Onboard device endpoints into Workspace ONE UEM Summarize the alternative management methodologies for rugged devices Discuss strategies to maintain environment and device fleet health Configure and deploy applications to Workspace ONE UEM managed devices Analyze a Workspace ONE UEM deployment Enable email access on devices Integrate Workspace ONE UEM with content repositories and corporate file shares In this three-day course, you learn how to apply the fundamental techniques for launching and maintaining an intelligence-driven, multiplatform endpoint management solution with VMware Workspace ONE© UEM. Through a combination of hands-on labs, simulations, and interactive lectures, you will configure and manage the endpoint life cycle. After the three days, you will have the foundational knowledge for effectively implementing Workspace ONE UEM. Course Introduction Introductions and course logistics Course objectives Platform Architecture Summarize the features and functionality of Workspace ONE UEM Outline the benefits of leveraging Workspace ONE UEM Recognize the core and productivity components that make up the Workspace ONE UEM platform Summarize high availability and disaster recovery for Workspace ONE Solution Administration Navigate and customize the Workspace ONE UEM console Summarize the hierarchical management structure Explain the features and functions of Workspace ONE Hub Services Outline account options and permissions Enterprise Integrations Outline the process and needs to integrate with directory services Explain certificate authentication and practical implementation with Workspace ONE Explain the benefits of integrating an email SMTP service into the Workspace ONE UEM console Describe VMware Dynamic Environment Manager and its architecture Onboarding Outline the prerequisite configurations in the Workspace ONE UEM environment for onboarding devices for management Outline the steps for setting up autodiscovery in the Workspace ONE UEM console Enroll an endpoint through the VMware Workspace ONE© Intelligent Hub app Summarize platform onboarding options Managing Endpoints Explain the differences between device and user profiles Describe policy management options for Windows 10 and macOS Describe the functions and benefits of using compliance policies Explain the use case for Freestyle Orchestrator Describe the capabilities that sensor and scripts enable. Alternative Management Methods Describe the function and benefits of device staging Configure product provisioning in the Workspace ONE UEM console Understand the benefits of deploying a VMware Workspace ONE© Launcher? configuration to Android devices List the system and device requirements for Linux device management in Workspace ONE UEM Applications Describe the features, benefits, and capabilities of application management in Workspace ONE UEM Understand and configure deployment settings for public, internal, and paid applications in the Workspace ONE UEM console Describe the benefits of using Apple Business Manager content integration Describe the benefits of using server-to-client software distribution List the functions and benefits of VMware Workspace ONE© SDK Device Email List email clients supported by Workspace ONE UEM Configure an Exchange Active Sync profile in the Workspace ONE UEM console Configure VMware Workspace ONE© Boxer settings Summarize the available email infrastructure integration models and describe their workflows Configure email compliance policies and notifications services Content Sharing Describe the benefits of using Content Gateway and the Content Gateway workflows Describe the benefits of integrating content repositories with Workspace ONE UEM Configure a repository in the Workspace ONE UEM console Maintenance Manage endpoints from the Device List view and the Details view. Analyze endpoint deployment and compliance data from Workspace ONE UEM Monitor page.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Applied AI: Building Recommendation Systems with Python (TTAI2360) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Building Recommendation Systems with Python (TTAI2360) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Course Overview The British Sign Language (BSL) Level 1 & 2 course offers a comprehensive foundation for learners keen to develop effective communication skills within the Deaf community. This course covers key vocabulary, everyday conversations, and cultural understanding across two recognised qualification levels. Through engaging modules, learners will build confidence in signing across a range of topics including greetings, family, transport, work, health, and leisure activities. The course provides a flexible learning experience, enabling learners to study at their own pace while gradually advancing from basic to more complex sign language structures. By the end of the course, learners will be able to confidently engage in conversations, describe people, express opinions, and interpret dialogues with greater fluency. Whether for personal growth, professional development, or community involvement, this course equips learners with the communication tools needed to create more inclusive and supportive environments for Deaf individuals. Course Description The British Sign Language (BSL) Level 1 & 2 course is structured to guide learners through a progressive journey, starting with the alphabet, fingerspelling, and simple daily interactions, before advancing to complex dialogues and storytelling. Key topics include family life, the home environment, weather, transport, work, hobbies, shopping, health, and holidays. Learners will engage with a variety of video dialogues—both with and without voice-over and subtitles—designed to enhance visual communication skills and comprehension. This learning experience not only builds practical sign language ability but also deepens understanding of Deaf culture, encouraging effective and respectful communication. With a focus on clarity, repetition, and gradual development, learners will acquire the skills needed to hold structured conversations, ask and respond to questions, and share detailed personal or professional information in BSL. The course aims to support learners in becoming confident and culturally aware communicators across different social and professional contexts. Course Modules Module 01: British Sign Language (BSL) Level 1 Online Course Module 02: Alphabet Fingerspelling and Names Practice Module 03: Greetings Module 04: Family, Question Forms and Family Story Module 05: Rooms in the House Vocabulary Module 06: Colours Module 07: Questions and Statements about the Home Module 08: Animals Module 09: Numbers and Money Module 10: Time and Months of the Year Module 11: Describing Ages Module 12: Weather Module 13: Transport Module 14: Directions Module 15: Hobbies Module 16: Work Module 17: Food and Drink Module 18: Dialogues (No Voice, No Subtitles) Module 19: Dialogues (With Voice and Subtitles) Module 20: Bonus: 5 Stories (With Voice and Subtitles) Module 21: Bonus: 5 Stories (No Voice Over) Module 22: Level 2 British Sign Language Module 23: Family Vocabulary Module 24: Describing People and Animals Module 25: Activities at School Module 26: Jobs and Activities at Work Module 27: Time Module 28: Activities in the Home Module 29: Leisure Activities Module 30: Opinions, Likes and Dislikes Module 31: Illnesses and Health Module 32: Eating and Drinking Module 33: Shopping and Spending Module 34: Travel and Holidays Module 35: Level 2 Dialogues (Without Voice and Subtitles) Module 36: Level 2 Dialogues (With Voice Over and Subtitles) Module 37: 5 Stories (No Voice Over and No Subtitles) Module 38: 5 Stories (With Voice Over and Subtitles) Module 39: Level 2 BSL Dialogues and Stories (See full curriculum) Who is this course for? Individuals seeking to communicate confidently with the Deaf community. Professionals aiming to enhance communication skills in inclusive workplaces. Beginners with an interest in sign language and Deaf culture. Teachers, healthcare workers, and public service providers. Parents, family members, or friends of Deaf individuals. Career Path BSL Interpreter (after further study and qualifications) Communication Support Worker Deaf Support Assistant Special Educational Needs (SEN) Teaching Assistant Community Support Worker Customer Service Advisor in accessible services Healthcare and Social Care Assistant Voluntary roles supporting Deaf organisations